如何改进openCV人员检测算法?

我正在尝试编写人类探测器，它现在工作，但有时它对猫/盒子等做出反应，我也得到了5 fps。所以问题是，我如何改进我的算法以获得更好的fps和检测精度。

我试过用这个:http://www.pyimagesearch.com/2015/11/09/pedestrian-detection-opencv/

但是我找不到任何方法我可以在android上使用这个。

public Mat onCameraFrame(CvCameraViewFrame inputFrame) {    
        List<MatOfPoint> list = new ArrayList<>();
            Mat frame = new Mat();
            Mat gray = new Mat();
            Mat hierarchy = new Mat();
            Mat originalFrame = inputFrame.rgba();

            Imgproc.medianBlur(originalFrame,originalFrame,3);
            Imgproc.cvtColor(originalFrame, gray, Imgproc.COLOR_RGB2GRAY, 0);
            HOGDescriptor hog = new HOGDescriptor();
            //Получаем стандартный определитель людей и устанавливаем его нашему дескриптору
            MatOfFloat descriptors = HOGDescriptor.getDefaultPeopleDetector();
            hog.setSVMDetector(descriptors);
            MatOfRect locations = new MatOfRect();
            MatOfDouble weights = new MatOfDouble();
            hog.detectMultiScale(gray, locations, weights);
            Point rectPoint1 = new Point();
            Point rectPoint2 = new Point();
            Point fontPoint = new Point();
            if (locations.rows() > 0) {
                List<Rect> rectangles = locations.toList();
                for (Rect rect : rectangles) {
                    rectPoint1.x = rect.x;
                    rectPoint1.y = rect.y;
                    fontPoint.x  = rect.x;
                    fontPoint.y  = rect.y - 4;
                    rectPoint2.x = rect.x + rect.width;
                    rectPoint2.y = rect.y + rect.height;
                    final Scalar rectColor = new Scalar( 0  , 0 , 0  );
                    // Добавляем на изображения найденную информацию
                    Imgproc.rectangle(originalFrame, rectPoint1, rectPoint2, rectColor, 2);
                }
            }

            frame.release();
            gray.release();
            hierarchy.release();
            list.clear();
            return originalFrame;
        }